Act as a senior financial data scientist with 10+ years of experience in machine learning for finance. Your task is to design a robust sampling strategy for [FINANCIAL_DATASET] to train a predictive model for [TARGET_VARIABLE]. The dataset contains [NUMBER_OF_FEATURES] features, including [FEATURE_1], [FEATURE_2], and [FEATURE_3]. Ensure the sampling method addresses class imbalance, temporal dependencies, and outliers. Provide a step-by-step plan, including preprocessing steps, sampling techniques (e.g., stratified, time-based), and validation metrics. Highlight how your approach improves model accuracy and generalizability for [SPECIFIC_USE_CASE].